{"id":"W3043649847","doi":"10.1088/1757-899x/870/1/012065","title":"Quantifying Canadian Water Quality Index in Alhindya Barrage, Euphrates River","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbidity; Environmental science; Water quality; Hydrology (agriculture); Irrigation; Water resource management; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009749141,0.0001747433,0.0002169408,0.00008539887,0.0002007575,0.0003336944,0.000317073,0.00006113324,0.00137781],"category_scores_gemma":[0.00008813367,0.0001441019,0.00001337559,0.0003030414,0.0004163836,0.001017177,0.000222538,0.0001057036,0.0001420515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001534649,"about_ca_system_score_gemma":0.00008041447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04734958,"about_ca_topic_score_gemma":0.01324557,"domain_scores_codex":[0.9983212,0.00004577276,0.0003108697,0.000400692,0.000337817,0.0005836581],"domain_scores_gemma":[0.9994088,0.00001094234,0.000034491,0.0001458098,0.00002019877,0.0003797779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000142114,0.000005513233,0.006348626,0.00004089194,0.000002194638,0.00001163222,0.008638343,0.00192623,0.9813462,0.001367434,0.00001812385,0.0002805815],"study_design_scores_gemma":[0.0002546004,0.00004826177,0.3065265,0.00003991151,0.000003483257,0.00000842581,0.0008440667,0.002567326,0.6830999,0.0001527912,0.005976435,0.0004783765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959106,0.000005086335,0.0001561964,0.002884607,0.0002277352,0.0001299766,0.00001891801,0.00004740468,0.0006195202],"genre_scores_gemma":[0.9990081,0.00001756712,0.000392431,0.0004914896,0.00003227544,0.0000121747,0.000005113699,0.000008421647,0.00003247649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3001778,"threshold_uncertainty_score":0.9995351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0512037364749772,"score_gpt":0.2617370244317543,"score_spread":0.2105332879567771,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}